Lecturer-researcher at INP-HB in Yamoussoukro, teaching applied and computational geophysics, computational geosciences and natural hazards, after two years teaching AI for Geophysics at Central South University.
School of Geosciences & Info-Physics · CSU
AI and its applications in geosciences · May 2025
From Changsha to Yamoussoukro: from AI for geophysics to a full geophysics, computing and hazards curriculum for the next generation of African geoscientists.
Lecturer-researcher · Geophysics, computational geosciences & natural hazards
Yamoussoukro, Côte d’Ivoire
I teach applied and computational geophysics, computational geosciences and natural hazards to engineering students, and lead research in computational geoscience, natural hazards and mineral exploration.
Courses
Faculty researcher · Lecturer in AI for Geophysics
Changsha, China
I taught AI for Geophysics to undergraduate and master’s students at the School of Geosciences and Info-Physics, and mentored their research projects.
Courses
I teach geophysics and geoscience computing by linking theory to usable workflows. Students should leave with physical and mathematical intuition, practical coding habits, and the confidence to question models rather than simply run them.
Build intuition for signals, physics, and uncertainty before treating machine learning as a black box.
Use guided projects and reproducible notebooks so abstract ideas become applied research skills.
Frame technical work around groundwater, geohazards, and environmental decision-making.
What I teach today at INP-HB, and the AI courses I taught at Central South University.
Geophysical methods from field acquisition to interpretation, with the numerical tools that turn measurements into subsurface models.
Topics covered
Numerical methods and programming for geoscience data, from cleaning field datasets to building reproducible models.
Topics covered
How natural hazards form, how to measure and model them, and how to turn monitoring data into early warning and risk decisions.
Topics covered
Guiding students through the full research cycle, from the first question to the final paper.
Research seminar · AI for geophysical properties & transferability · CSU
I mentor students through the full research cycle: defining a question, building the workflow, evaluating evidence, and communicating results clearly.
“Good mentorship does not remove difficulty; it helps students grow strong enough to handle it.”
Lectures, seminars and the research community around them. Click a photo to view it full size.